html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/2461#issuecomment-557325914,https://api.github.com/repos/pydata/xarray/issues/2461,557325914,MDEyOklzc3VlQ29tbWVudDU1NzMyNTkxNA==,42118783,2019-11-21T23:57:15Z,2019-11-21T23:57:15Z,NONE,Right that's actually desired behavior to begin with so this works out,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557325065,https://api.github.com/repos/pydata/xarray/issues/2461,557325065,MDEyOklzc3VlQ29tbWVudDU1NzMyNTA2NQ==,14808389,2019-11-21T23:53:25Z,2019-11-21T23:53:25Z,MEMBER,just note that in the end the result is still 2D with the missing values filled with `nan`,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557324294,https://api.github.com/repos/pydata/xarray/issues/2461,557324294,MDEyOklzc3VlQ29tbWVudDU1NzMyNDI5NA==,42118783,2019-11-21T23:50:01Z,2019-11-21T23:50:01Z,NONE,"This worked perfectly, thanks so much!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557322577,https://api.github.com/repos/pydata/xarray/issues/2461,557322577,MDEyOklzc3VlQ29tbWVudDU1NzMyMjU3Nw==,14808389,2019-11-21T23:42:28Z,2019-11-21T23:42:28Z,MEMBER,"to get your example to work, use this:
```python
data=pd.DataFrame({'x': [0, 1, 2], 'y': ['a', 'b', 'c'],'z': ['a', 'b', 'c']})
xr.DataArray(data.x, coords={'y': data.y, 'x':data.z}, dims=""y"")
```
to get both as dimensions, use
```python
df = pd.DataFrame({'x': [0, 1, 2], 'y': ['a', 'b', 'c'],'z': ['a', 'b', 'c']})
ds = df.set_index([""y"", ""z""]).to_xarray()
```","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557321322,https://api.github.com/repos/pydata/xarray/issues/2461,557321322,MDEyOklzc3VlQ29tbWVudDU1NzMyMTMyMg==,42118783,2019-11-21T23:37:07Z,2019-11-21T23:41:09Z,NONE,"This also doesn't work feeding y and z as `data.y.values` and `data.z.values` which are 1d arrays.
Ultimately merge to another dataset with the same coordinates. Seems like there's something obvious I'm missing here but I haven't been able to figure out what it is.
Ah I see in this example I need a dataset that's 3x3, let me fix the example and see if it's still relevant to my issue","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557320245,https://api.github.com/repos/pydata/xarray/issues/2461,557320245,MDEyOklzc3VlQ29tbWVudDU1NzMyMDI0NQ==,2448579,2019-11-21T23:33:21Z,2019-11-21T23:33:21Z,MEMBER,"So that's not possible. You can't have both `y` and `z` be 1D coordinate variables for `x` since `x` is 1D.
What are you ultimately trying to do after the conversion to DataArray?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557319180,https://api.github.com/repos/pydata/xarray/issues/2461,557319180,MDEyOklzc3VlQ29tbWVudDU1NzMxOTE4MA==,42118783,2019-11-21T23:29:52Z,2019-11-21T23:30:31Z,NONE,"@dcherian not quite because I want z and y to both have the star next to them (or bolded in your screenshot) so that they're proper coordinates. I likewise thought that the answer would be as simple as:
```
data=pd.DataFrame({'x': [0, 1, 2], 'y': ['a', 'b', 'c'],'z': ['a', 'b', 'c']})
xr.DataArray(data.x, coords={'y': data.y, 'x':data.z})
```
But again, I haven't gotten anywhere this way either and getting the error `ValueError: coordinate y has dimensions ('y',), but these are not a subset of the DataArray dimensions ('dim_0',)`
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557315718,https://api.github.com/repos/pydata/xarray/issues/2461,557315718,MDEyOklzc3VlQ29tbWVudDU1NzMxNTcxOA==,2448579,2019-11-21T23:17:31Z,2019-11-21T23:17:31Z,MEMBER,"`ds.rename_dims({""i"": ""y""})`
Is this what you want?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557312857,https://api.github.com/repos/pydata/xarray/issues/2461,557312857,MDEyOklzc3VlQ29tbWVudDU1NzMxMjg1Nw==,42118783,2019-11-21T23:06:34Z,2019-11-21T23:07:32Z,NONE,"@fujiisoup This method works when trying to add a single coordinate, but what about when you're trying to add multiple coordinates? Example:
```
import xarray as xr
ds = xr.Dataset({'x': ('i', [0, 1, 2]), 'y': ('i', ['a', 'b', 'c']),'z': ('i', ['a', 'b', 'c'])})
ds= ds.set_coords(['y','z'])
ds.swap_dims({'i':'y','i':'z'}) #doesn't work
ds = xr.Dataset({'x': ('i', [0, 1, 2]), 'y': ('i', ['a', 'b', 'c']),'z': ('i', ['a', 'b', 'c'])})
ds= ds.set_coords('y')
ds=ds.swap_dims({'i':'y'})
ds.set_coords('z') #doesn't work either
```
Is there any reason that this is the default behavior? This is a bit frustrating to work with after creating an xarray dataset from pandas.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-426906908,https://api.github.com/repos/pydata/xarray/issues/2461,426906908,MDEyOklzc3VlQ29tbWVudDQyNjkwNjkwOA==,6815844,2018-10-04T06:59:56Z,2018-10-04T06:59:56Z,MEMBER,"> It might be worth putting a ""see also"" note in the assign_coords and set_coords documentation for this. I tried searching quite a bit, but did not find this.
Thanks for the suggestion. It sounds a good idea. Do you mind to send a PR for this?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-426905460,https://api.github.com/repos/pydata/xarray/issues/2461,426905460,MDEyOklzc3VlQ29tbWVudDQyNjkwNTQ2MA==,43126798,2018-10-04T06:53:35Z,2018-10-04T06:53:35Z,CONTRIBUTOR,"Awesome, thank you @fujiisoup.
It might be worth putting a ""see also"" note in the `assign_coords` and `set_coords` documentation for this. I tried searching quite a bit, but did not find this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-426898980,https://api.github.com/repos/pydata/xarray/issues/2461,426898980,MDEyOklzc3VlQ29tbWVudDQyNjg5ODk4MA==,6815844,2018-10-04T06:22:03Z,2018-10-04T06:22:03Z,MEMBER,"I'm closing this issue, but if you have further issue, do not hesitate to reopen this. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-426898835,https://api.github.com/repos/pydata/xarray/issues/2461,426898835,MDEyOklzc3VlQ29tbWVudDQyNjg5ODgzNQ==,6815844,2018-10-04T06:21:23Z,2018-10-04T06:21:23Z,MEMBER,"Hi @nedclimaterisk.
Thanks for the raising an issue.
In that case, you can use [`swap_dims`](http://xarray.pydata.org/en/stable/generated/xarray.Dataset.swap_dims.html),
```python
In [1]: import xarray as xr
...: ds = xr.Dataset({'x': ('i', [0, 1, 2]), 'y': ('i', ['a', 'b', 'c'])})
...: ds
...:
...:
Out[1]:
Dimensions: (i: 3)
Dimensions without coordinates: i
Data variables:
x (i) int64 0 1 2
y (i)
Dimensions: (x: 3)
Coordinates:
* x (x) int64 0 1 2
Data variables:
y (x)